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Course: Statistics and probability > Unit 9
Lesson 1: Discrete random variables- Random variables
- Discrete and continuous random variables
- Constructing probability distributions
- Probability with discrete random variables
- Expected value
- Mean (expected value) of a discrete random variable
- Expected value (basic)
- Standard deviation of a discrete random variable
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Discrete and continuous random variables
Discrete random variables can only take on a finite number of values. For example, the outcome of rolling a die is a discrete random variable, as it can only land on one of six possible numbers.
Continuous random variables, on the other hand, can take on any value in a given interval. For example, the mass of an animal would be a continuous random variable, as it could theoretically be any non-negative number. Created by Sal Khan.
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